POS0756 DETERMINANTS OF HEALTH-RELATED QUALITY OF LIFE (HR-QoL) ACROSS THE SPECTRUM OF SYSTEMIC AUTOIMMUNE RHEUMATIC DISEASES: RESULTS FROM THE LEAP COHORT
Authors: S. Dyball, J. Reynolds, A. Herrick, H. Chinoy, S. Haque, S. Naz, E. Bruce, I. N. Bruce, B. Parker
Journal: Annals of the Rheumatic Diseases (2022)

Background Poor health-related quality of life (HR-QoL) is recognised in patients with established connective tissue diseases (CTDs), however it is not clear how it affects patients with undifferentiated CTD (UCTD) which has traditionally been associated with a mild or more benign profile. Objectives To investigate HR-QoL in patients affected with a variety of CTDs (including UCTD) using the SF-36 questionnaire; and secondly, to review demographic and clinical factors predictive of a poor HR-QoL Methods The Lupus Extended Autoimmune Phenotype (LEAP) cohort is a multicentre prospective study of patients with a CTD. Rheumatologist diagnosis was used to classify patients into four groups: systemic lupus erythematosus (SLE), primary Sjögren’s syndrome (pSS), UCTD, and (combined because of low numbers) those with an idiopathic inflammatory myopathy (IIM), systemic sclerosis (SSc) or overlap syndrome. The SF-36 quality of life questionnaire was completed at enrolment and includes eight domains: physical function (PF), role physical (RP), bodily pain (BP), general health (GH), vitality (VT), social functioning (SF), role emotional (RE) and mental health (MH) which range from 0 to 100, with higher scores reflecting better HR-QoL. Physical (PCS) and mental component score (MCS) were calculated for each group, with a score below 50 representing a worse HR-QoL compared to the general UK population. Predictors for poor HR-QoL was chosen a priori, then tested using linear regression adjusted for age, gender and ethnicity. All statistical analysis was performed using STATA v14, with results expressed as beta coefficients with 95% confidence intervals (95%CI). Results Data were collected from 309 patients (280 [90.6%] women, with a mean [SD] age of 48.9 [12.9] years) from three UK rheumatology centres. The majority of patients were Caucasian (n=235, 76.1%). By rheumatologist diagnosis, 115 (37.2%) had SLE, 56 (18.1%) pSS, 72 (23.3%) UCTD and 66 (21.4%) SSc, IIM or an overlap syndrome. Patients with UCTD, pSS and SSc/IIM spectrum disorders had a shorter median disease duration (3.8, 3.7 and 6.1 years respectively) compared with patients with those with SLE (11.0 years), p&lt;0.001. Previous steroid and immunosuppressant use was highest in patients with SLE and SSc/IIM spectrum disorders (p&lt;0.001). The most affected domains include VT, GH and BP (Figure 1), and the PCS is more impaired compared with the MCS, with similar scores across disease groups. Agnostic of disease group, factors associated with a lower PCS include increasing age (beta -0.15 [95%CI -0.26, -0.06], p=0.008), prednisolone use (-3.1 [-6.05, -0.19], p=0.037), c-reactive protein (-0.09 [-0.62, -0.10], p=0.007), fatigue (-2.00 [-3.79, -0.22], p=0.028), and sicca syndrome (-4.70 [-7.66, -1.74] p=0.002), and these remained significant in a multivariate model. Figure 1. radar diagrams of eight SF-36 domains, and MCS and PCS boxplots. SLE; systemic lupus erythematosus; UCTD, undifferentiated CTD; pSS, primary Sjögren’s syndrome; IIM, idiopathic inflammatory myopathy; SSc, systemic sclerosis; PF, physical function; RP, role physical; BP, bodily pain; GH, general health; VT, vitality; SF, social functioning; RE, role emotional; MH, mental health Conclusion Patients with UCTD exhibit similar impairment in physical components of HR-QoL compared with other established CTDs, despite perceived differences in disease severity. This study highlights sicca syndrome, fatigue, and steroid burden as key targets for improving HR-QoL in patients across the spectrum of CTDs. Disclosure of Interests Sarah Dyball Grant/research support from: UCB and Eli Lilly, John Reynolds: None declared, Ariane Herrick Speakers bureau: Janssen, Consultant of: Arena, Boehringer-Ingelheim, Camurus, CSL-Behring, and Gesynta, Grant/research support from: Gesynta, Hector Chinoy Speakers bureau: UCB, Biogen, Consultant of: Novartis, Eli Lilly, Orphazyme, Astra Zeneca, Grant/research support from: Eli Lilly and UCB, Sahena Haque: None declared, Sophia Naz: None declared, Ellen Bruce: None declared, Ian N. Bruce Speakers bureau: AstraZeneca, GSK and UCB, Consultant of: AstraZeneca, Eli Lilly, GSK, Merck Serono, UCB and ILTOO, Grant/research support from: Genzyme/Sanofi, GSK, Roche and UCB, Ben Parker Speakers bureau: Eli Lilly and Roche, Consultant of: Fresenius-Kabi and AbbVie, Grant/research support from: Genzyme/Sanofi and GSK